Data Analyst

Scope of Work

• Work for the Business Operations team under the IT Project Management Office (PMO) to provide data analysis related services for the Exchange.
• Integrate, work with, pilot, and implement solutions across various technologies, databases, and data structures.
• Communicate with MHBE IT team, business team, vendor team and other stakeholders to translate business needs into data sets and solutions.
• Coordinate with technical and operational teams to prepare and integrate multiple data sets in various formats to provide insight into Exchange operations.
• Lead data warehousing efforts and performing data analysis as needed across sets of transactional, operational, device, and various other data sources.
• Coordinate with the development team, business operations team and the testing team to analyze, fix, test and pull data sets as needed to address operational needs.
• Analyze processes, associated data sources and data to provide contextual understanding of business goals, inputs, and outputs. Using this understanding, develop process intelligence, transactional, and business intelligence solutions
• Additional duties may include business process development, EDI error analysis, solution architecture, statistical analysis, dashboard development, query analysis, troubleshooting, data architecture, and documentation.

Required

• Bachelor’s degree Computer Science, Information Systems, Physics, Mathematics, Statistics, Engineering, or equivalent.
• A minimum of four (4) years of relevant professional experience in data analysis and business intelligence.
• A minimum of four (4) years of experience in developing and working with Advanced SQL, ETL and Data Warehousing.
• Experience in developing of data visualizations.
• Basic experience in programming (R, Python, Java, Javascript, etc.)
• Experience working with, preparing, and integrating various types of data structures – flat, relational, hierarchical, graph, etc.
• Strong knowledge and experience with data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT, reporting/analytic tools and environments, data structures, data modeling, and performance tuning.
• Experience leveraging and orchestrating the collection and functional integration/manipulation of data with various application programming interfaces (APIs).
• Experience with establishing and maintaining reporting databases, data warehouses, and analysis systems.
• Knowledge of Business Process Modeling Notation and Business Process Management techniques.
• Ability to effectively communicate with both business and technical teams.

Desired

• Healthcare background and/or experience working with and analyzing timestamped transactional data.
• Knowledge and/or experience working with IBM Informatica, Talend, AbInitio, Pentaho and/or other model driven application development platforms.
• Knowledge and/or experience working with Big Data (Hadoop, etc.) and non-traditional data management and analysis.
• Knowledge of Data Science Concepts
• Knowledge and/or experience with Machine Learning Algorithms and Analysis.
• Knowledge and/or experience with Data Visualization and tools (Tableau, Google Data Studio).
• Knowledge and/or experience working with Hive and the Hadoop ecosystem
• Experience in quality assurance and quality control of a large-scale Healthcare System.
• Knowledge and/or experience implementing and working with the Data Management Body of Knowledge (DMBOK).
• Experience working with PMO processes, policies and procedures.

All your information will be kept confidential according to EEO guidelines.